where \(\beta _0\)  and \(\mathbf {\beta _1}\)  parametrize the logistic regression. The propensity score \(e_i\)  is defined as the conditional probability that participant \(i\)  is assigned treatment \(A\)  versus treatment \(C\)  given measured covariates \(\mathbf {x}_i\)  [1]}.
